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How to Implement Digit Recognition with TensorFlow Lite using an i.MX RT1060 Crossover MCU

How to Implement Digit Recognition with TensorFlow Lite using an i.MX RT1060 Crossover MCU

This article looks at digit detection and recognition using MNIST eIQ as an example, which consists of several parts — the digit recognition is performed by a TensorFlow Lite model, and a GUI is used to increase the usability of the i.MX RT1060 device.


An Example of Securing In-Cabin AI using TEE on a Secure FPGA SoC

An Example of Securing In-Cabin AI using TEE on a Secure FPGA SoC

This article discusses trusted execution environments — already used in a variety of connected devices — by showing how using TEE and an FPGA SoC can work in vehicle in-cabin AI.


The Importance of Reliability Verification in AI/ML Processors

The Importance of Reliability Verification in AI/ML Processors

With the adoption of artificial intelligence and machine learning in a wide variety of applications, reliability verification of AI/ML processors is critical since failures can have major consequences for the validity and legitimacy of AI/ML technology.


How Automated CDC Protocol Verification Accelerates Testing Processes

How Automated CDC Protocol Verification Accelerates Testing Processes

This article describes a methodology that automates set up, constraints, and results analysis as designs move from static CDC analysis to formal verification to simulation and avoid manual scripting efforts, thus reducing setup effort and errors.


How to Utilize the RISC-V Instruction Set CKB-VM

How to Utilize the RISC-V Instruction Set CKB-VM

Part 3 of this series shows examples of the CKB-VM, a RISC-V instruction set based VM, in action in three different ways.


Making the Cloud More Powerful: Xilinx FPGAs and Adaptive Workload Acceleration

Making the Cloud More Powerful: Xilinx FPGAs and Adaptive Workload Acceleration

Historically, FPGAs have been challenging to work with. To combat that reputation, Xilinx developed programmable devices that simplify—and accelerate—the implementation of customized hardware development.


Accelerating Embedded Vision Integration with Xilinx SoCs and the reVISION Stack

Accelerating Embedded Vision Integration with Xilinx SoCs and the reVISION Stack

SoCs with programmable logic are an essential element of real-time embedded vision systems. Designers can capitalize on the power and efficiency of Xilinx's Zynq Ultrascale+ MPSoC devices to implement their designs using Avnet's Embedded Vision Kits and the Xilinx reVISION stack.


Tracking Every Neuron: The Future of Medical Research Lies in Processing Time

Tracking Every Neuron: The Future of Medical Research Lies in Processing Time

How is Stanford making use of high-speed memory in their latest research initiative?


Intelligence at the Edge Part 3: Edge Node Communication

Intelligence at the Edge Part 3: Edge Node Communication

Connected industrial machines can sense a wide array of information used to make key decisions within the Industrial Internet of Things (IIoT). A sensor within an edge node can be spatially far removed from any data aggregation point. It must connect through a gateway that links edge data with a network.


Intelligence at the Edge Part 2: Reduced Time to Insight

Intelligence at the Edge Part 2: Reduced Time to Insight

In this multipart industrial IoT series, we will break down and explore the fundamental aspects of the edge node interpretation within the larger IoT framework: sensing, measuring, interpreting, and connecting data, with additional consideration for power management and security.


Intelligence at the Edge Part 1: The Edge Node

Intelligence at the Edge Part 1: The Edge Node

The industrial Internet of Things (IoT) encompasses the broad transformation underway that will make pervasive sensing across connected machines not just a competitive advantage, but an essential fundamental service. The industrial IoT starts with the edge node, which is the sensing and measurement entry point of interest.


MEMS Vibration Monitoring: From Acceleration to Velocity

MEMS Vibration Monitoring: From Acceleration to Velocity

MEMS accelerometers have finally reached a point where they are able to measure vibration on a broad set of machine platforms.